Presented by:
Laura Graham, PhD
Health Services Research Economist
Stanford-Surgery Policy Improvement Research and Education Center

Bio

Laura is a health services researcher with a wide variety of experience in data management and analysis, including large multi-center health services and outcomes research studies, provider survey studies, and laboratory-oriented research. Her research interest includes surgical outcomes research, informatics, and implementation science to translate evidence into practice. The bulk of her research experience is centered around the use and analysis of large administrative datasets collected by the Veterans Health Administration. She has been involved in a multitude of Health Services Research & Development funded and unfunded studies using these administrative data to assess surgical outcomes.

Presented by:
Kristen Davis, MPH, CAPM
Research Project Manager
S-SPIRE Center, Dept. of Surgery

Title: “Updating Your NIH Biosketch and Other Support Forms”

Bio: Kristen Davis-Lopez, MPH, CAPM is the Research Project Manager at the S-SPIRE Center. She has a background in biology as well as public health. She supports multiple principal investigators with their current funded projects as project manager. Kristen also assists with the grant submission process within the Department of Surgery acting as a liaison with the Research Management Group.

For Zoom dial-in instructions, please contact Ana Mezynski at mezynski@stanford.edu

General Surgery Former PD Resident: 

Dr. Kirbi Yelorda
Dr. Jeff Choi
Dr. Wilson Alobuia

Presented by: Nathaniel Breg, BD-STEP postdoctoral fellow at the VA Palo Alto
Talk Title: “The Effects of Changing Capitated Payments on Health Care Staffing, Contracting, Utilization, and Quality: Evidence from a Natural Experiment in the Veterans Health Administration.”

Bio: Nathaniel Breg is a BD-STEP postdoctoral fellow at the VA Palo Alto, with a joint appointment with the Department of Health Policy at Stanford. His research focuses on health care provider decision-making. He completed his Ph.D. is in public policy and management with a concentration in applied economics at Carnegie Mellon University in 2022. He previously worked on projects for CMS as an analyst at RTI International.

Presented by: Kenneth Nieser, PhD, Postdoctoral Scholar, General Surgery, Department of Surgery, Stanford University.
Talk Title: “TBD”

Bio: Ken Nieser is a postdoctoral research fellow through the Big Data-Scientist Training Enhancement Program (BD-STEP) at the Palo Alto VA and in the Department of Surgery, Stanford School of Medicine. Ken received a BA in Physics and Mathematics from Swarthmore College and a PhD in Epidemiology with a minor in Statistics from the University of Wisconsin-Madison. During his PhD, Ken developed and applied statistical methods for improving algorithmic fairness of data analyses used to inform screening and treatment of mental illnesses. These projects included development of an approach for detecting sample subsets with differential psychological symptom patterns and a sample representation reweighting method for improving the precision of subgroup-specific treatment effect estimation.